A vehicle detection method and system based on image layering technology

Abstract

The invention discloses a vehicle detection method based on image layering technology, comprising: collecting a background image containing a vehicle; performing secondary image layering on the background image to obtain a target image containing a vehicle; Boundary correction; use multi-frame joint detection to generate a candidate window of the current frame in the neighborhood of the vehicle detected in the multi-frame target image before the current frame, and use the vehicle detected in the candidate window as the target window; combine all The target window of the frame performs image de-overlapping processing to obtain the target area containing the vehicle; output the coordinates of the target area. The invention also discloses a vehicle detection system based on image layering technology, comprising: an image acquisition module, an image layering module, an image de-overlapping module, and an output module.

Description

technical field [0001] The present invention relates to the field of image layering technology, in particular to a vehicle detection method and system based on image layering technology. Background technique [0002] As an important part of FCW (Front Collision Warning), moving vehicle detection based on vision sensors has become one of the focuses of many peer researches. Traditional moving vehicle detection technology based on visual sensors is mainly used on highways or urban expressways. These roads have clean backgrounds, less interference, and are basically not affected by the shadows of urban high-rise buildings, so the overall detection effect is ideal. On ordinary roads, when the vehicle is driving on the road, it is easily affected by the projection of surrounding high-rise buildings or the shadows of trees on both sides of the road, as well as the interference of other objects, resulting in a large degree of landslide in the vehicle detection effect. The false al...

AI Technical Summary

Problems solved by technology

Traditional visual sensor-based mobile vehicle detection technology is mainly used on highways or urban expressways. These roads have clean backgrounds, less interference, and are basically not affected by the shadows of urban high-rise buildings, so the overall detection effect is ideal.

On ordinary roads, when the vehicle is driving on the road, it is easily affected by the projection of surrounding high-rise buildings or the shadows of trees on both sides of the road, as well as the interference of other objects, resulting in a large degree of landslide in the vehicle detection effect. False alarms increased while false alarms decreased

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